Introduction: Noninvasive magnetic resonance imaging (MRI) and targeted drug delivery systems, usually referred to as theranostic agents, are being developed to enable detection, site-specific treatment, and long-term monitoring.   Materials and Methods: To elucidate the effects of coating on cellular uptake and biodistribution of n...

Upon addition of the fungal elicitor cryptogein, suspension cells of tobacco (Nicotiana tabacum cv. Xanthi) aggregated in clusters. Cytochemical experiments indicated that elicited cells displayed fibrillar expansions of pectin along the primary cell wall. Immunocytochemical detection of pectin epitopes indicated that the fibrillar material surrounding the treated cells was mostly composed of l...

Cationic membrane-active peptides have been studied for years in the hope of developing them into novel types of therapeutics. In this article, we investigate an effect that might have significant experimental implications for investigators who wish to study these peptides, namely, that the peptides adsorb to solid surfaces of glass and plastic. Specifically, we use analytical HPLC to systemati...

Activation of the alternate complement pathway in human serum by several bacterial components was compared. Peptidoglycan from group A streptococcal cell walls was the most active material, on a weight basis, followed by cell walls, protoplast membranes, and whole cells. The group-specific carbohydrate was inactive. Treatment of peptidoglycan with low concentrations of lysozyme or short periods...

We present an active-perception strategy to optimize the temperature program of metal-oxide sensors in real time, as the sensor reacts with its environment. We model the problem as a partially observable Markov decision process (POMDP), where actions correspond to measurements at particular temperatures, and the agent is to find a temperature sequence that minimizes the Bayes risk. We validate ...

This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. We propose two formulations of the problem. The first formulation relies on a model of the uncertainty that is added directly into the POMDP planning problem. This has some interesting theoretical properties, but is impr...

We analyze the asymptotic behavior of agents engaged in an infinite horizon partially observable stochastic game as formalized by the interactive POMDP framework. We show that when agents’ initial beliefs satisfy a truth compatibility condition, their behavior converges to a subjective ǫ-equilibrium in a finite time, and subjective equilibrium in the limit. This result is a generalization of a ...

Partially observable planning is one of the most general and useful models for dealing with complex problems. In recent years there have been significant progress on the development of planners for deterministic models that offer strong theoretical guarantees over certain subclasses of tasks. These guarantees however are difficult to establish as they often involve reasoning about features that...

We present a foveated gesture recognition system that guides an active camera to foveate salient features based on a reinforcement learning paradigm. Using vision routines previously implemented for an interactive environment, we determine the spatial location of salient body parts of a user and guide an active camera to obtain images of gestures or expressions. A hiddenstate reinforcement lear...